Methods for Forest Carbon Storage Estimation Based on Forest Inventory Data

The forest carbon storage estimation methods based on the forest inventory data(FID) are important in assessing forest carbon budget in terms of landscape,regional,and national scales,and play an important role in studying terrestrial ecosystem carbon cycle and global changes.The vegetation carbon storage in forest ecological system is usually calculated by multiplying forest biomass of the forest ecological system with its biomass carbon content,and in the world,the coefficient commonly is 0.45~0.55.There are basically four methods for forest biomass estimation based on FID: IPCC method,a constant BEF of biomass expansion factor method,biomass expansion factor continuous function method and biomass experience(regression) model method.The quantitative methods of forest carbon storage estimation based on FID of forest vegetation were reviewed.The problems related to the methods were pointed out,and improvement proposals were put forwards for future forest carbon storage estimation methods.In forest carbon storage estimation,remote sensing techniques need to be stressed,the carbon flux in the forest inventory need to be increasingly employed and the inversion models fitted to the actual situation in China need to be developed in the future.